


'''simple docstring'''







from __future__ import annotations




def 							__lowercase    (   __SCREAMING_SNAKE_CASE					,	__SCREAMING_SNAKE_CASE		)					->       list[list[int]]:
     """simple docstring"""




     __a   			= []
     __a   			= []
     __a   			= 0
     __a   			= sum(__SCREAMING_SNAKE_CASE		)
     create_state_space_tree(__SCREAMING_SNAKE_CASE					,	__SCREAMING_SNAKE_CASE					,	__SCREAMING_SNAKE_CASE					,	__SCREAMING_SNAKE_CASE					,	__SCREAMING_SNAKE_CASE					,	__SCREAMING_SNAKE_CASE		)
     return result




def 							__lowercase    (   __SCREAMING_SNAKE_CASE					,	__SCREAMING_SNAKE_CASE					,	__SCREAMING_SNAKE_CASE					,	__SCREAMING_SNAKE_CASE					,	__SCREAMING_SNAKE_CASE					,	__SCREAMING_SNAKE_CASE					,	)					->       None:
     """simple docstring"""




     if sum(__SCREAMING_SNAKE_CASE		) > max_sum or (remaining_nums_sum + sum(__SCREAMING_SNAKE_CASE		)) < max_sum:
          return
     if sum(__SCREAMING_SNAKE_CASE		) == max_sum:
          result.append(__SCREAMING_SNAKE_CASE		)
          return
     for index in range(__SCREAMING_SNAKE_CASE					,	len(__SCREAMING_SNAKE_CASE		)		):
          create_state_space_tree(
              __SCREAMING_SNAKE_CASE					,	__SCREAMING_SNAKE_CASE					,	index + 1					,	[*path, nums[index]]					,	__SCREAMING_SNAKE_CASE					,	remaining_nums_sum - nums[index]					,	)
SCREAMING_SNAKE_CASE_   =      [3, 34, 4, 12, 5, 2]
SCREAMING_SNAKE_CASE_   =      9
SCREAMING_SNAKE_CASE_   =      generate_sum_of_subsets_soln(nums, max_sum)



print(*result)








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


lowerCamelCase_    :			Optional[int]    =	{
    """configuration_graphormer""": ["""GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GraphormerConfig"""],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCamelCase_    :			Union[str, Any]    =	[
							    """GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """GraphormerForGraphClassification""",
							    """GraphormerModel""",
							    """GraphormerPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_graphormer import (
														    GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
														    GraphormerForGraphClassification,
														    GraphormerModel,
														    GraphormerPreTrainedModel,
														)


else:
							import sys

							lowerCamelCase_    :			Optional[Any]    =	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






